Author

A. Esrafilian

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

D. G. Lloyd· 2 shared R. K. Korhonen· 2 shared A. A. Gatti· 1 shared A.-M. Mustonen· 1 shared D. J. Saxby· 1 shared J. Arokoski· 1 shared J. Reijonen· 1 shared J. Toyras· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioengineering

D. G. Lloyd

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2 papers

Recent·Most cited

An Automated and Robust Tool for Musculoskeletal and Finite Element Modeling of the Knee Joint

A. Esrafilian, S. Chandra, A. A. Gatti, M. J. Nissi, A.-M. Mustonen, L. Saisanen, J. Reijonen, P. Nieminen, P. Julkunen, J. Toyras, D. J. Saxby, D. G. Lloyd, R. K. Korhonen

The paper develops an automated knee musculoskeletal finite element modeling pipeline and compares two approaches for generating biomechanical models.

bioRxiv · Oct 14, 2023Bioengineering

An EMG-assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox

A. Esrafilian, L. Stenroth, M. E. Mononen, P. Vartiainen, P. Tanska, P. A. Karjalainen, J.-S. Suomalainen, J. Arokoski, D. G. Lloyd, R. K. Korhonen

This paper introduces and validates a semi-automated MS-FE modeling pipeline using EMG data to estimate joint and tissue-level knee mechanics in KOA patients during daily activities.

bioRxiv · Mar 27, 2021Biophysics